Home Backend Development PHP Tutorial Vertical scaling in PHP

Vertical scaling in PHP

May 23, 2023 am 08:16 AM
Performance optimization php scalability server extension

With the continuous advancement of Internet technology, the number of users of Web applications continues to increase, and the performance requirements for servers are also getting higher and higher. If multiple servers are used for load balancing, the performance and reliability of Web applications can be improved to a certain extent, but the cost will also increase exponentially. Therefore, how to improve the performance of a single server has become the focus of web application developers and operation and maintenance personnel. In this case, vertical scaling became a widely adopted solution.

Vertical expansion is to improve the performance of the server by increasing the hardware resources of a single server, such as CPU, memory, disk, etc. Compared with horizontal expansion (increasing the number of servers), vertical expansion is simpler and more direct. It does not require large-scale adjustment and reconstruction of the existing system. At the same time, there are some risks and challenges.

In PHP applications, vertical expansion solutions mainly involve the following aspects:

  1. CPU

In the era of multi-core CPUs, PHP applications use Multi-thread or multi-process to fully utilize the performance of multi-core CPU. For example, the PHP-FPM extension provides a multi-process management mechanism that can create multiple independent processes according to different user requests to improve the performance of PHP applications.

In addition to the multi-process mechanism, you can also utilize the multi-core resources of the CPU by writing multi-threaded code. However, since PHP is an interpreted scripting language, it is not suitable for writing complex multi-threaded code, and PHP's thread safety is not very good. Therefore, multi-process scenarios are more common.

  1. Memory

When PHP applications process large amounts of data, the problem of excessive memory usage often occurs. If the server has insufficient memory, it can cause PHP applications to run slowly or crash. In order to solve this problem, you can improve the performance of PHP applications by increasing the memory capacity of the server.

In addition, PHP’s garbage collection mechanism will also affect memory usage. You can optimize the performance and memory usage of PHP applications by adjusting the parameters of the PHP garbage collection mechanism. For example, you can adjust the gc_probability and gc_divisor parameters in the php.ini configuration file to control the triggering probability and efficiency of the garbage collection mechanism.

  1. Disk

PHP applications often require reading and writing large amounts of data, such as database access, file upload and download, etc. These operations may become a performance bottleneck for PHP applications. In order to improve the disk IO performance of PHP applications, it can be optimized in the following ways:

  • Use high-performance disk storage devices, such as solid-state drives (SSD);
  • Use cache Technologies, such as Memcached, Redis, etc., cache frequently read and written data into memory to reduce the number of disk IO operations;
  • Optimize the code and algorithm of PHP applications to reduce unnecessary disk IO operations;
  • Adopt event-driven architecture, such as Swoole extension, to convert PHP applications into asynchronous IO models to avoid blocking IO operations.
  1. Network

The network IO performance of PHP applications is mainly affected by factors such as network bandwidth and latency. If your application needs to handle a large number of network requests, you need to consider how to improve network IO performance.

In order to optimize network IO performance, the following methods can be used:

  • Use high-performance servers and network equipment to increase bandwidth and speed;
  • Change static Resources such as images, CSS, JS, etc. are hosted on CDN to reduce the server's processing of these resources;
  • Optimize network protocols and communication models to reduce network delays and data transmission time;
  • Use Websocket Equal-length connection technology reduces overhead such as network handshakes.

When performing vertical expansion of PHP applications, it is necessary to implement the two principles of "optimizing bottlenecks" and "stability". Optimizing bottlenecks can improve application performance, but you need to be careful not to over-optimize, which will affect the stability and reliability of the system. Stability is a key element for vertical expansion. The high availability and fault tolerance of the system must be ensured to avoid single points of failure. To do this, adequate testing and risk assessment are required to determine the appropriate vertical expansion solution.

In short, vertical expansion is an effective solution to improve the performance of a single server, and it has also been widely used in PHP applications. By increasing CPU, memory, disk and network resources, the performance and reliability of PHP applications can be improved to meet user needs and service requirements.

The above is the detailed content of Vertical scaling in PHP. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
4 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Best Graphic Settings
4 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. How to Fix Audio if You Can't Hear Anyone
4 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Chat Commands and How to Use Them
4 weeks ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Performance optimization and horizontal expansion technology of Go framework? Performance optimization and horizontal expansion technology of Go framework? Jun 03, 2024 pm 07:27 PM

In order to improve the performance of Go applications, we can take the following optimization measures: Caching: Use caching to reduce the number of accesses to the underlying storage and improve performance. Concurrency: Use goroutines and channels to execute lengthy tasks in parallel. Memory Management: Manually manage memory (using the unsafe package) to further optimize performance. To scale out an application we can implement the following techniques: Horizontal Scaling (Horizontal Scaling): Deploying application instances on multiple servers or nodes. Load balancing: Use a load balancer to distribute requests to multiple application instances. Data sharding: Distribute large data sets across multiple databases or storage nodes to improve query performance and scalability.

C++ Performance Optimization Guide: Discover the secrets to making your code more efficient C++ Performance Optimization Guide: Discover the secrets to making your code more efficient Jun 01, 2024 pm 05:13 PM

C++ performance optimization involves a variety of techniques, including: 1. Avoiding dynamic allocation; 2. Using compiler optimization flags; 3. Selecting optimized data structures; 4. Application caching; 5. Parallel programming. The optimization practical case shows how to apply these techniques when finding the longest ascending subsequence in an integer array, improving the algorithm efficiency from O(n^2) to O(nlogn).

Optimizing rocket engine performance using C++ Optimizing rocket engine performance using C++ Jun 01, 2024 pm 04:14 PM

By building mathematical models, conducting simulations and optimizing parameters, C++ can significantly improve rocket engine performance: Build a mathematical model of a rocket engine and describe its behavior. Simulate engine performance and calculate key parameters such as thrust and specific impulse. Identify key parameters and search for optimal values ​​using optimization algorithms such as genetic algorithms. Engine performance is recalculated based on optimized parameters to improve its overall efficiency.

The Way to Optimization: Exploring the Performance Improvement Journey of Java Framework The Way to Optimization: Exploring the Performance Improvement Journey of Java Framework Jun 01, 2024 pm 07:07 PM

The performance of Java frameworks can be improved by implementing caching mechanisms, parallel processing, database optimization, and reducing memory consumption. Caching mechanism: Reduce the number of database or API requests and improve performance. Parallel processing: Utilize multi-core CPUs to execute tasks simultaneously to improve throughput. Database optimization: optimize queries, use indexes, configure connection pools, and improve database performance. Reduce memory consumption: Use lightweight frameworks, avoid leaks, and use analysis tools to reduce memory consumption.

What are the common methods for program performance optimization? What are the common methods for program performance optimization? May 09, 2024 am 09:57 AM

Program performance optimization methods include: Algorithm optimization: Choose an algorithm with lower time complexity and reduce loops and conditional statements. Data structure selection: Select appropriate data structures based on data access patterns, such as lookup trees and hash tables. Memory optimization: avoid creating unnecessary objects, release memory that is no longer used, and use memory pool technology. Thread optimization: identify tasks that can be parallelized and optimize the thread synchronization mechanism. Database optimization: Create indexes to speed up data retrieval, optimize query statements, and use cache or NoSQL databases to improve performance.

How to use profiling in Java to optimize performance? How to use profiling in Java to optimize performance? Jun 01, 2024 pm 02:08 PM

Profiling in Java is used to determine the time and resource consumption in application execution. Implement profiling using JavaVisualVM: Connect to the JVM to enable profiling, set the sampling interval, run the application, stop profiling, and the analysis results display a tree view of the execution time. Methods to optimize performance include: identifying hotspot reduction methods and calling optimization algorithms

How to quickly diagnose PHP performance issues How to quickly diagnose PHP performance issues Jun 03, 2024 am 10:56 AM

Effective techniques for quickly diagnosing PHP performance issues include using Xdebug to obtain performance data and then analyzing the Cachegrind output. Use Blackfire to view request traces and generate performance reports. Examine database queries to identify inefficient queries. Analyze memory usage, view memory allocations and peak usage.

Performance optimization in Java microservice architecture Performance optimization in Java microservice architecture Jun 04, 2024 pm 12:43 PM

Performance optimization for Java microservices architecture includes the following techniques: Use JVM tuning tools to identify and adjust performance bottlenecks. Optimize the garbage collector and select and configure a GC strategy that matches your application's needs. Use a caching service such as Memcached or Redis to improve response times and reduce database load. Employ asynchronous programming to improve concurrency and responsiveness. Split microservices, breaking large monolithic applications into smaller services to improve scalability and performance.

See all articles